3. Methods of Point Cloud-Based Joint Estimation 本节主要介绍几种实现人体关节提取的方法。现有的调查已经从RGB或深度图的角度对联合提取技术进行了定性比较。 我们将注意力限制在基于点云的方法上,主要分为基于特征的方法、基于模板的方法和基于机器学习的方法。 每种方法分别在每个部分中讨论。 3.1. Template-...
Identification of workpiece is implemented by segmenting workpieces from the point cloud data in the image. Before segmentation, KD-Tree based background model is constructed to filter out background points; then RANSAC fitting procedure rejects outliers and fits the correct workpiece plane model; and...
However, this paper uses joints on a human skeleton as feature points for calibrating a multi-view camera to perform calibration efficiently without special tools. We propose an RGB-D-based calibration algorithm that uses the joint coordinates of the 3D joint set obtained through pose estimation ...
Taking advantage of pre-knowledge about the point cloud such as layer-based organized indexing in LiDAR data [42], relative pose between the LiDAR sensor, or point cloud in each 3D scan(frame) [43] accelerate segmentation speed. These assumptions provided by the structured point cloud hold in...
3D - Point Cloud Paper list and Datasets about Point Cloud. Datasets can be found in Datasets.md. Survey papers A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning [IJCAI 2024; Github] Sequential Point Clouds: A Survey [TPAMI 2024] A Survey of Label-Efficien...
Image Based 6-DOF Camera Pose Estimation with Weighted RANSAC 3D In this work an approach for image based 6-DOF pose estimation, with respect to a given 3D point cloud model, is presented. We use 3D annotated training vi... J Wetzel - Springer Berlin Heidelberg 被引量: 1发表: 2013年 ...
This paper presents a system for online learning of human classifiers by mobile service robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public space. The learning framework requires a minimal set of labelled samples (e.g. one or several samples) to initialise a...
Large-scale unstructured point cloud scenes can be quickly visualized without prior reconstruction by utilizing levels-of-detail structures to load an appr
Practical/ mobile robots robot vision service robots statistical analysis/ 3D point cloud based object maps household environments household robotic assistant rectangular planes 3D geometric shapes statistical analysis persistent histogram features estimation/ C3390C Mobile robots C5260B Computer vision and ima...
Z. Zhou et al., "NDT-Transformer: Large-scale 3D Point Cloud Localisation Using the Normal Distribution Transform Representation", 2021 IEEE International Conference on Robotics and Automation (ICRA) J. Komorowski, "MinkLoc3D: Point Cloud Based Large-Scale Place Recognition", Proceedings of the IE...